Intelligent media computing technology and application for media convergence

Li, Zechao

doi:10.1049/cit2.12132

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…The image of the city and brand is formed from the impression of residents and consumers 27 . Through VR technology, the visual and psychological image of the city and brand are designed to establish a strong connection with the audience, It helps to promote the communication effect of city and brand image, and the higher the scene fidelity, the better the communication effect 28 . Visual fusion is the visual fusion of terrain and feature models, as shown in Figure 5.…”

Section: Vr Modeling Model Construction Based On Multi Perspective An...mentioning

confidence: 99%

Virtual reality modeling application based on multi perspective and deep learning in the new media presentation and brand building of Dongguan City memory

Ye,

Liu,

Kuang

et al. 2024

Concurrency and Computation

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To help the new media presentation and brand building of Dongguan City memory, a virtual reality modeling model based on multi‐perspective and deep learning is proposed. First, in order to address the issue of imbalanced input and output information in depth map prediction tasks, as well as poor accuracy of predicted depth map boundaries, a depth map prediction model based on multiple perspectives and deep learning is built. Then, a single perspective modeling framework is proposed to address the scarcity of perspectives in practical situations, and a dynamic fusion model is built for single‐view virtual reality scenes based on multi‐view generation networks. The results indicated that the mean square error, average relative error, and average logarithmic error were minimized at 0.52, 0.138, and 0.068, respectively. The multi‐threshold accuracy index demonstrated peak values at 0.772, 0.8821, and 0.947, respectively. The grid simplification algorithm exhibited the shortest running times at 1.57, 2.52, 3.91, and 6.53 s, respectively. Moreover, the single‐view modeling frame displayed the smallest angle distance at 0.1449, while the overlap degree of the point cloud scene reached the highest levels at 77.47, 79.49, 83.5, and 84.47, respectively. To sum up, the model has a good application effect in virtual reality modeling and positively affects virtual reality technology development.

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Section: Vr Modeling Model Construction Based On Multi Perspective An...mentioning

confidence: 99%

Virtual reality modeling application based on multi perspective and deep learning in the new media presentation and brand building of Dongguan City memory

Ye,

Liu,

Kuang

et al. 2024

Concurrency and Computation

View full text Add to dashboard Cite

show abstract

“…From what has been discussed above, the development of convergence media requires our media industry to carry out transformation and reform in many aspects. For example, the operation and maintenance mode needs to adopt a more macro management mode, the production of media content needs to be more intelligent, and the flow of data needs to be more clear [28]. We can change the media operation and maintenance with the help of existing science and technology, so that it can adapt to the development of society in some aspects.…”

Section: The Challenges Facing Convergence Media Developmentmentioning

confidence: 99%

Research on Convergence Media Consensus Mechanism Based on Blockchain

Wang

2022

Sustainability

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In recent years, the media industry has achieved rapid development and experienced three development stages from traditional media to new media and then to the current convergence media. Convergence media has brought about great changes in content production, communication mechanism, operation and maintenance management, but also brought about problems such as declining credibility of the industry, difficulty in confirming content rights, difficulty in protecting user privacy, etc. Research on convergence media based on blockchain can make use of the characteristics of blockchain to design or optimize the media industry. In this paper, we introduced the development of convergence media, blockchain and consensus mechanism, then we described a sustainable convergence media ecology based on blockchain. Furthermore, we designed and implemented a consensus mechanism named proof of efficiency (PoE). After analysis, PoE can provide high security and resist 51% resource attack, sybil attack, etc. The experimental results show that PoE has the characteristics of decentralization, strong consistency, low energy consumption, short average block generation time, high throughput and short block confirmation time; the consensus results of PoE can reflect the node’s ecological characteristics in convergence media which can stimulate the activity of nodes and better solve the generation of the Matthew effect.

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“…The essence of media convergence is technology convergence, and the overall process of media convergence is the progress of digital technology. Based on data, algorithms and other convergence technology also define the future direction of media convergence [2]. The boundaries between multiple modalities have been erased with the advancement of media convergence, resulting in the acquisition of more consistent and complementary information.…”

Section: Introductionmentioning

confidence: 99%

A multi‐modal clustering method for traditional Chinese medicine clinical data via media convergence

Tian

et al. 2023

CAAI Trans on Intel Tech

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Media convergence is a media change led by technological innovation. Applying media convergence technology to the study of clustering in Chinese medicine can significantly exploit the advantages of media fusion. Obtaining consistent and complementary information among multiple modalities through media convergence can provide technical support for clustering. This article presents an approach based on Media Convergence and Graph convolution Encoder Clustering (MCGEC) for traditonal Chinese medicine (TCM) clinical data. It feeds modal information and graph structure from media information into a multi-modal graph convolution encoder to obtain the media feature representation learnt from multiple modalities. MCGEC captures latent information from various modalities by fusion and optimises the feature representations and network architecture with learnt clustering labels. The experiment is conducted on real-world multimodal TCM clinical data, including information like images and text. MCGEC has improved clustering results compared to the generic single-modal clustering methods and the current more advanced multi-modal clustering methods. MCGEC applied to TCM clinical datasets can achieve better results. Integrating multimedia features into clustering algorithms offers significant benefits compared to single-modal clustering approaches that simply concatenate features from different modalities. It provides practical technical support for multi-modal clustering in the TCM field incorporating multimedia features.

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Intelligent media computing technology and application for media convergence

Cited by 6 publications

References 5 publications

Virtual reality modeling application based on multi perspective and deep learning in the new media presentation and brand building of Dongguan City memory

Virtual reality modeling application based on multi perspective and deep learning in the new media presentation and brand building of Dongguan City memory

Research on Convergence Media Consensus Mechanism Based on Blockchain

A multi‐modal clustering method for traditional Chinese medicine clinical data via media convergence

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